EP3317811B1 - Authentification d'empreinte digitale comprenant une mise à jour de modèle - Google Patents

Authentification d'empreinte digitale comprenant une mise à jour de modèle Download PDF

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Publication number
EP3317811B1
EP3317811B1 EP16818340.8A EP16818340A EP3317811B1 EP 3317811 B1 EP3317811 B1 EP 3317811B1 EP 16818340 A EP16818340 A EP 16818340A EP 3317811 B1 EP3317811 B1 EP 3317811B1
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Prior art keywords
template
stored
partial candidate
candidate fingerprint
representation
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German (de)
English (en)
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EP3317811A4 (fr
EP3317811A1 (fr
Inventor
Eric Setterberg
Morten HOLM JENSEN
Markus Andersson
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Fingerprint Cards Anacatum IP AB
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Fingerprint Cards Anacatum IP AB
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1335—Combining adjacent partial images (e.g. slices) to create a composite input or reference pattern; Tracking a sweeping finger movement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/28—Determining representative reference patterns, e.g. by averaging or distorting; Generating dictionaries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/772—Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1365—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/50—Maintenance of biometric data or enrolment thereof

Definitions

  • the present invention relates to a method of authenticating a finger of a user, and to a fingerprint authentication system.
  • biometric systems are used more and more in order to provide for increased security and/or enhanced user convenience.
  • fingerprint sensing systems have been adopted in, for example, consumer electronic devices, thanks to their small form factor, high performance, and user acceptance.
  • One way of achieving satisfactory biometric performance with a small fingerprint sensor is to provide a so-called swipe sensor or strip sensor. By instructing the user to swipe his finger across the sensor surface and capturing image slices during the swiping motion sufficient fingerprint information can be collected.
  • swiping the finger across the sensor may not be considered to be sufficiently intuitive and simple to the user.
  • fingerprint sensing systems employing small sensors for stationary finger placement have been proposed.
  • the user may be authenticated against a stored template based on a single partial fingerprint image from the sensor.
  • the stored template corresponds to a considerably larger portion of the user's fingerprint than the partial fingerprint image captured in connection with an authentication attempt.
  • One way of achieving such a larger template is to enroll users on a larger fingerprint sensor. This approach is, however, not suitable for many applications where enrollment and authentication should be carried out using the same electronic device, such as a mobile communication device.
  • US2013/0259330 discloses a method and system for continuously updating and expanding an enrolled template using later acquired partial fingerprint images that match with the stored template.
  • the stored template may be any representation of a fingerprint usable as a basis for authenticating a representation of a present partial candidate fingerprint image.
  • the stored template may be a composite fingerprint template formed through assembly of partial fingerprint images or assembly of partial templates, each being based on an acquired partial fingerprint image.
  • the stored template may be formed by a plurality of partial templates, each being based on an acquired partial fingerprint image.
  • a "representation" of a fingerprint image may be any information extracted from the fingerprint image, which is useful for assessing the similarity between fingerprint images acquired at different times.
  • the representation of the fingerprint image may comprise descriptions of fingerprint features (such as so-called minutiae) and information about the positional relationship between the fingerprint features.
  • the representation of the fingerprint image may be the image itself, or a compressed version of the image.
  • the image may be binarized and/or skeletonized.
  • first and second template updating requirements which may be predefined and stored in memory, may be identical or mutually different.
  • the template updating requirements may, for example, be embodied in the form of threshold matching scores that may indicate a minimum similarity between fingerprint images required for template updating to take place.
  • the template updating requirements may indicate at least a required number of corresponding fingerprint features.
  • other properties may also be used, alone or in combination with a requirement on the number of corresponding fingerprint features.
  • the positional relationship between the fingerprint features may be used.
  • the template update requirements may be the same or similar as the requirements for determining if an authentication attempt is successful. According to various embodiments, however, the template update requirements may be stricter than an authentication requirement.
  • a fingerprint authentication system may be comprised in a stand-alone electronic device, such as a mobile communication device, or may be formed by interconnected devices, such as a computer and a fingerprint acquisition device connected to the computer.
  • the fingerprint sensor may, for example, be a capacitive fingerprint sensor detecting a measure indicative of the capacitive coupling between each sensing element in an array of sensing elements and a finger surface touching the sensor surface. Sensing elements at locations corresponding to ridges in the fingerprint will exhibit a stronger capacitive coupling to the finger than sensing elements at locations corresponding to valleys in the fingerprint.
  • the various embodiments of the present invention are not limited to a particular fingerprint sensing technology, but are equally applicable to, for instance, optical, thermal or piezo-electric fingerprint sensors etc.
  • the steps of the methods according to various embodiments of the present invention need not necessarily be performed in any particular order.
  • the above-mentioned second match can be evaluated before the above-mentioned first match and/or the signal indicating a successful authentication may be provided at any time after it has been determined that the first match fulfills the first template updating requirement.
  • the present invention is based upon the realization that a stored template can be expanded faster by saving representations of previous partial fingerprint images acquired in connection with failed authentications attempts, and expanding the stored template with one or several such previous partial fingerprint images when a present partial fingerprint image is determined to be sufficiently similar to the fingerprint image represented by the stored template and also sufficiently similar to the one or several previous partial fingerprint images.
  • a faster expansion of the stored template provides for a faster improvement in the performance of the fingerprint authentication system and/or allows for a simpler and faster enrolment procedure, making the fingerprint authentication system according to embodiments of the present invention more user-friendly without compromising the performance.
  • a limited and known number of matches between partial fingerprint images may be carried out in connection with a successful authentication, which provides for a fast and predictable authentication and template expansion procedure.
  • the method according to the present invention may further comprise the step of forming, when it is determined that the first match fulfills the first predefined template updating requirement, an updated template based on the stored template and the present candidate fingerprint image, wherein it is determined if the second match fulfills the second template updating requirement by comparing the stored representation of the at least first previous partial candidate fingerprint image and the updated template.
  • first and second template updating requirements may be identical or at least very similar, which may facilitate implementation of the fingerprint authentication method.
  • Further expansion of the stored template in connection with a successful authentication may be achieved by determining if a third match between a stored representation of a second previous partial candidate fingerprint image and the first expanded template fulfills a third template updating requirement; and when it is determined that the third match fulfills the third template updating requirement: forming a second expanded template based on the first expanded template and the second previous candidate fingerprint image.
  • the stored template can only be expanded when the first match (between the representation of the present partial fingerprint image and the stored template) fulfills the first template updating requirement.
  • an updated template can be formed by expanding the stored template with at least the present partial candidate fingerprint image. If, on the other hand, the first match fails to fulfill the first template updating requirement, the representation of the present partial candidate fingerprint image is added to the enrolment representation as a representation of a previous partial fingerprint image, thereby forming an updated enrolment representation.
  • the method of the present invention may therefore further comprise the step of evaluating at least one image property of the present partial candidate fingerprint image in respect of an image property criterion, wherein the representation of the present partial candidate fingerprint image may only be added to the stored enrolment representation when the at least one image property fulfills the image property criterion.
  • Such an image property criterion may, for instance be indicative of a threshold image quality, to reduce the risk of including partial fingerprint images with poor image quality (blurry images, images with insufficient contrast, images with saturated portions etc) in the enrolment representation for the user.
  • the image property criterion may be indicative of a likelihood that the present partial candidate fingerprint image is an image of a finger of the user.
  • different users may have fingerprints exhibiting distinctly different general characteristics, such as average distance between adjacent fingerprint ridges etc.
  • the method of the present invention may additionally provide for a procedure for removing representations of previous partial candidate fingerprint images from the memory of the fingerprint authentication system based on an evaluation of at least one property of each of the stored previous partial candidate fingerprint images.
  • the at least one property may be selected from a group comprising image quality, image age, similarity to other previous partial candidate fingerprint images etc.
  • a fingerprint authentication system as defined by claim 10.
  • the processing circuitry may be provided in the form of one or several processors, which may also control other functions of the electronic device in which the fingerprint authentication system may be comprised.
  • the present invention relates to a method of authenticating a finger against a stored template and expanding the stored template.
  • the method comprises acquiring a present fingerprint image; retrieving a stored enrolment representation, comprising said stored template, and a representation of at least a first previous fingerprint image acquired in connection with a previous failed authentication attempt; and determining if the stored template should be expanded.
  • a signal indicating a successful authentication is provided; and a first expanded template is formed based on said stored template, said present fingerprint image and said at least first previous fingerprint image.
  • the fingerprint sensor may have any other shape.
  • the fingerprint sensor may be provided as an elongated rectangle.
  • figs 1a-c schematically show three different exemplary authentication attempts using a small fingerprint sensor.
  • an electronic device here in the form of mobile phone 1, comprises a touch display 2 and a fingerprint sensor 3.
  • the touch display 2 comprises a touch sensor for touch-based control of the mobile phone 1 and a display acting as a user interface.
  • the user of the mobile phone 1 makes a first authentication attempt by placing his finger 5 on the fingerprint sensor 3.
  • Fig 1b and fig 1c illustrate second and third authentication attempts in which the user places his finger 5 on the fingerprint sensor 3.
  • a user will typically not place his finger in exactly the same way on the fingerprint sensor 3 in connection with different authentication attempts. However, the user will expect the authentication attempts to succeed in at least all of the cases shown in figs 1a-c to be motivated to continue to use fingerprint authentication.
  • fig 2 the different portions of the user's fingerprint imaged in the different partial fingerprint images acquired in connection with the authentication attempts in figs 1a-c are indicated on an illustration of the total fingerprint of the finger 5.
  • the first fingerprint portion 7a corresponds to the authentication attempt in fig 1a
  • the second 7b and third 7c fingerprint portions correspond to figs 1b and 1c , respectively.
  • the stored fingerprint template used for authentication based on the partial fingerprint images should correspond to a considerably larger portion of the user's fingerprint than each of the fingerprint portions 7a-c imaged by the partial fingerprint images. It is also easy to understand that an enrolment procedure resulting in a template covering a sufficiently large portion of the user's fingerprint may require a large number of finger placements.
  • the electronic device (mobile phone) 1 in fig 1 comprises, in addition to the fingerprint sensor 3, a touch sensor 11, a display 12, processing circuitry here in the form of microprocessor 13, a memory 14 and a battery 15 for providing electrical energy to the various components of the electronic device 1.
  • processing circuitry is schematically indicated in fig 3 as a single microprocessor, it should be noted that this is a simplified illustration, and that the processing circuitry may comprise several processors.
  • the processing circuitry may comprise a fingerprint processor dedicated for acquisition and processing of fingerprint images, template generation and/or authentication.
  • the processing circuitry may comprise a display driver for control of the display 12 etc.
  • a first step 100 in response to an authentication request, the fingerprint sensor 3 is controlled by the processing circuitry 13 to acquire a present partial candidate fingerprint image.
  • the acquired present partial candidate fingerprint image 20 is represented by the unfilled square in fig 5a .
  • a stored enrolment representation for the user is retrieved by the processor 13 from the memory 14.
  • the stored enrolment representation comprises a stored template 21 (indicated as an area with a squared pattern in fig 5a ), and a plurality of previous partial candidate fingerprint images 22a-f (indicated as hatched squares in fig 5a ).
  • the illustration of the enrolment representation in fig 5a is only intended to indicate an exemplary coverage of the enrolment representation in relation to the user's fingerprint.
  • the stored template 21 and/or the previous partial candidate fingerprint images 22a-f may be stored in any suitable form, for instance as a table of fingerprint feature descriptors and their respective absolute or relative positions.
  • a representation of the present partial candidate fingerprint image 20 is compared with the stored template 21 to evaluate a first match between the present partial candidate fingerprint image 20 and the stored template 21.
  • the first match can be evaluated by comparing fingerprint features extracted from the present partial candidate fingerprint image 20 with fingerprint features of the stored template 21. Based on the comparison between the representation of the present partial candidate fingerprint image 20 and the stored template 21, a first match score S 1 can be determined.
  • This first match score S 1 is evaluated in relation to a first template updating requirement, here a first threshold match score S 1,th in step 103.
  • step 104 the method proceeds to step 104 and the processor 13 provides a signal indicating a failed authentication.
  • the signal provided by the processor 13 may be used to indicate to the user, for example via the display 12, that the authentication attempt failed.
  • step 105 the present partial candidate fingerprint image 20 is stored in the memory 14 and added to the enrolment representation as a previous partial candidate fingerprint image.
  • the present partial candidate fingerprint image 20 may be matched with the already stored previous partial candidate fingerprint images 22a-f to determine if one or several cluster(s) can be formed including the present partial candidate fingerprint image 20.
  • the match between a cluster including the partial candidate fingerprint image 20 and the stored template 21 may fulfill the requirements for updating the stored template 21.
  • the method may therefore optionally further include evaluating a match between newly formed clusters and the stored template 21.
  • step 103 When, on the other hand, it is determined in step 103 that the first match fulfills the first template updating requirement, the method proceeds to step 107 and the processor 13 provides a signal indicating authentication success.
  • the signal provided by the processor 13 may be used to indicate to the user, for example via the display 12, that the authentication attempt succeeded.
  • the above-mentioned representation of the present partial candidate fingerprint image 20 is compared with a representation of at least a first of the stored previous partial candidate fingerprint images 22a-f to evaluate a second match between the present partial candidate fingerprint image 20 and the at least first previous partial candidate fingerprint image 22a-f.
  • the representation of the present partial candidate fingerprint image 20 may be successively compared with each of the stored previous partial candidate fingerprint images 22a-f, and for each comparison, a match score S 2,n may be determined.
  • This second match score S 2,n for each of the above-mentioned comparisons is evaluated in relation to a second template updating requirement, here a second threshold match score S 2,th in step 109.
  • step 109 When it is determined in step 109 that the none of the comparisons between the representation of the present partial candidate fingerprint image 20 and each representation of the previous partial candidate fingerprint images 22a-f results in a second match score S 2,n that exceeds the second threshold match score S 2,th , the method proceeds to step 110.
  • step 110 an expanded template is formed by the processor 13 by expanding the stored template with the present partial candidate fingerprint image 20, and the expanded template is stored in the memory 14.
  • step 109 When it is instead determined in step 109 that the one or several of the comparisons between the representation of the present partial candidate fingerprint image 20 and each representation of the previous partial candidate fingerprint images 22a-f results in a second match score S 2,n that exceeds the second threshold match score S 2,th , the method proceeds to step 111.
  • an expanded template is formed by the processor 13 by expanding the stored template with the present partial candidate fingerprint image 20 and the previous partial candidate fingerprint image(s) for which the second match score S 2,n exceeds the second threshold match score S 2,th , and the expanded template is stored in the memory 14.
  • the only one of the previous partial candidate fingerprint images 22a-f that matches sufficiently well with the present partial candidate fingerprint image 20 is the previous partial candidate fingerprint image 22a with the largest overlap.
  • the two mutually overlapping previous partial candidate fingerprint images 22a and 22b have previously been matched with each other and form a cluster 24.
  • the expanded template, which is indicated as 25 in fig 5b is thus formed based on the present partial candidate fingerprint image 20, the stored template 21, and the above-mentioned cluster 24 of previous partial candidate fingerprint images.
  • a first step 200 in response to an authentication request, the fingerprint sensor 3 is controlled by the processing circuitry 13 to acquire a present partial candidate fingerprint image.
  • the acquired present partial candidate fingerprint image 20 is represented by the unfilled square in fig 7a .
  • a stored enrolment representation for the user is retrieved by the processor 13 from the memory 14.
  • the stored enrolment representation comprises a stored template 21 (indicated as an area with a squared pattern in fig 7a ), and a plurality of previous partial candidate fingerprint images 22a-f (indicated as hatched squares in fig 7a ).
  • a representation of the present partial candidate fingerprint image 20 is compared with the stored template 21 to evaluate a first match between the present partial candidate fingerprint image 20 and the stored template. Based on the comparison between the representation of the present partial candidate fingerprint image 20 and the stored template 21, a first match score S 1 can be determined.
  • This first match score S 1 is evaluated in relation to a first template updating requirement, here a first threshold match score S 1,th in step 203.
  • step 203 When it is determined in step 203 that the first match score S 1 does not exceed the first threshold match score S 1,th , the method proceeds to step 204 and the processor 13 provides a signal indicating a failed authentication.
  • the signal provided by the processor 13 may be used to indicate to the user, for example via the display 12, that the authentication attempt failed.
  • step 205 the present partial candidate fingerprint image 20 is stored in the memory 14 and added to the enrolment representation as a previous failed partial candidate fingerprint image.
  • the present partial candidate fingerprint image 20 may be matched with the already stored previous partial candidate fingerprint images 22a-f to determine if one or several cluster(s) can be formed including the present partial candidate fingerprint image 20.
  • the match between a cluster including the partial candidate fingerprint image 20 and the stored template 21 may fulfill the requirements for updating the stored template 21.
  • the method may therefore optionally further include evaluating a match between newly formed clusters and the stored template 21.
  • step 203 When, on the other hand, it is determined in step 203 that the first match fulfills the first template updating requirement, the method proceeds to step 207 and the processor 13 provides a signal indicating authentication success.
  • the signal provided by the processor 13 may be used to indicate to the user, for example via the display 12, that the authentication attempt succeeded.
  • an updated template is formed by the processor 13 by expanding the stored template 21 with the present partial candidate fingerprint image 20, and the updated template is stored in the memory 14.
  • the updated template is indicated by reference numeral 28 in fig 7b .
  • step 209 a representation of the n th previous partial candidate fingerprint image, for example starting with the first previous partial candidate fingerprint image 22a, is compared with the updated template 28. As described above, the comparison may result in a third match score S 3,n .
  • This third match score S 3,n is evaluated in relation to a third template updating requirement, here a third threshold match score S 3,th in step 210.
  • step 210 When it is determined in step 210 that the third match score S 3,n for a comparison between the updated template 28 and the n th previous partial candidate fingerprint image exceeds the third threshold match score S 3,th , the method proceeds to step 211, in which the processor 13 forms a new updated template by expanding the currently stored updated template with the n th previous partial candidate fingerprint image, and the counter n is reset. Since the counter n is reset, it will not matter in which order the previous partial candidate fingerprint images are evaluated.
  • the first previous partial candidate fingerprint image 22a matches sufficiently well with the updated stored template 28 to fulfill the template update requirement, and the stored template is therefore expanded by expanding the stored template (updated template 28) with the first previous partial candidate fingerprint image 22a.
  • the resulting new updated template is indicated by reference numeral 30 in fig 7c .
  • step 211 the method proceeds to step 213. Since the counter n was reset in step 211, the method will directly proceed to step 214 where the counter is incremented before the method returns to step 209. If the evaluated previous partial candidate fingerprint image is the last, the method terminates.
  • step 210 when it is determined that the match score S 3,n does not exceed the threshold match score S 3,th , the method goes to step 213 and proceeds as described above.
  • the stored template 21 will be expanded five times in succession before the method terminates.
  • the stored template will be expanded with the present partial candidate fingerprint image 20, and then with the first 22a, second 22b, fourth 22d, and third 22c previous partial candidate fingerprint images in succession. Only the first iterations are shown in figs 7a-c .
  • the successive template enlargement of this second embodiment of the invention allows addition of the fourth 22d (and the third 22c) previous partial candidate fingerprint image even though neither the match between the present partial candidate fingerprint image 20 and the fourth previous partial candidate fingerprint image 22d, nor the match between the second previous partial candidate fingerprint image 22b and the fourth partial candidate fingerprint image 22d fulfills the matching requirement on its own.
  • the match between the template and the fourth previous partial candidate fingerprint image 22d will, however, fulfill the matching requirement for template expansion. This provides for a very efficient and fast template expansion.
  • the stored template 21 may be expanded three times in succession, first with the present partial candidate fingerprint image 20, then with a cluster comprising the first 22a and second 22b previous partial candidate fingerprint images, and thereafter with a cluster comprising the third 22c and fourth 22d previous partial candidate fingerprint images as described above in connection with the flow-chart in fig 4 .
  • the word “comprising” does not exclude other elements or steps, and the indefinite article “a” or “an” does not exclude a plurality.
  • a single processor or other unit may fulfill the functions of several items recited in the claims.
  • a computer program may be stored/distributed on a suitable medium, such as an optical storage medium or a solid-state medium supplied together with or as part of other hardware, but may also be distributed in other forms, such as via the Internet or other wired or wireless telecommunication systems. Any reference signs in the claims should not be construed as limiting the scope.

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Claims (13)

  1. Procédé d'authentification d'un doigt (5) d'un utilisateur par rapport à un modèle stocké (21) et d'élargissement du modèle stocké, comprenant les étapes suivantes :
    l'acquisition (100) d'une image d'empreinte digitale candidate partielle présente (20) ;
    la récupération (101) d'une représentation d'enregistrement stockée pour ledit utilisateur, la représentation d'enregistrement stockée comprenant ledit modèle stocké (21) et des représentations stockées d'une pluralité d'images d'empreintes digitales candidates partielles précédentes (22a-f) acquises en relation avec des tentatives d'authentification infructueuses précédentes pour ledit utilisateur ;
    la détermination si une première correspondance entre une représentation de l'image d'empreinte digitale candidate partielle présente (20) et ledit modèle stocké (21) satisfait une première exigence de mise à jour de modèle indiquant que l'image d'empreinte digitale candidate partielle présente (20) est suffisamment similaire à l'image d'empreinte digitale représentée par le modèle stocké (21) pour qu'une mise à jour de modèle se déroule et qu'une authentification puisse être considérée comme étant réussie ;
    la détermination si une deuxième correspondance entre ladite représentation de l'image d'empreinte digitale candidate partielle présente (20) et au moins l'une desdites représentations stockées de la pluralité d'images d'empreintes digitales candidates partielles précédentes (22a-f) satisfait une deuxième exigence de mise à jour de modèle ;
    lorsqu'il est déterminé que ladite première correspondance satisfait ladite première exigence de mise à jour de modèle et ladite deuxième correspondance ne satisfait pas ladite deuxième exigence de mise à jour de modèle :
    la fourniture (107) d'un signal indiquant une authentification réussie ; et
    la formation (110) d'un premier modèle élargi (25) par l'élargissement dudit modèle stocké (21) avec ladite image d'empreinte digitale candidate partielle présente (20) ;
    lorsqu'il est déterminé que ladite première correspondance satisfait ladite première exigence de mise à jour de modèle et ladite deuxième correspondance satisfait ladite deuxième exigence de mise à jour de modèle :
    la fourniture (107) d'un signal indiquant une authentification réussie ; et
    la formation (111) d'un premier modèle élargi (25) par l'élargissement dudit modèle stocké (21) avec ladite image candidate partielle présente (20) et ladite au moins une représentation stockée de la pluralité d'images d'empreintes digitales candidates partielles précédentes (22a-f) ; et
    lorsqu'il est déterminé que ladite première correspondance ne satisfait pas ladite première exigence de mise à jour de modèle :
    la fourniture (104) d'un signal indiquant un échec d'authentification ; et
    la formation (105) d'une représentation d'enregistrement mise à jour par l'ajout de ladite représentation de l'image d'empreinte digitale candidate partielle présente (20) à ladite représentation d'enregistrement stockée en tant qu'une image d'empreinte digitale candidate partielle précédente.
  2. Procédé selon la revendication 1, dans lequel il est déterminé si ladite deuxième correspondance satisfait ladite deuxième exigence de mise à jour de modèle par la comparaison de chacune desdites représentations stockées de la pluralité d'images d'empreintes digitales candidates partielles précédentes (22a-f) et de ladite représentation de l'image d'empreinte digitale candidate partielle présente (20).
  3. Procédé d'authentification d'un doigt (5) d'un utilisateur par rapport à un modèle stocké (21) et d'élargissement du modèle stocké, comprenant les étapes suivantes :
    l'acquisition (200) d'une image d'empreinte digitale candidate partielle présente (20) ;
    la récupération (201) d'une représentation d'enregistrement stockée pour ledit utilisateur, ladite représentation d'enregistrement stockée comprenant ledit modèle stocké (21) et des représentations stockées d'une pluralité d'images d'empreintes digitales candidates partielles précédentes (22a-f) acquises en relation avec des tentatives d'authentification infructueuses précédentes pour ledit utilisateur ;
    la détermination si une première correspondance entre une représentation de l'image d'empreinte digitale candidate partielle présente (20) et ledit modèle stocké (21) satisfait une première exigence de mise à jour de modèle indiquant que l'image d'empreinte digitale candidate partielle présente (20) est suffisamment similaire à l'image d'empreinte digitale représentée par le modèle stocké (21) pour qu'une mise à jour de modèle se déroule et qu'une authentification puisse être considérée comme étant réussie ;
    lorsqu'il est déterminé que ladite première correspondance satisfait ladite première exigence de mise à jour de modèle :
    la fourniture (207) d'un signal indiquant une authentification réussie ;
    la formation (208) d'un modèle mis à jour (28) par l'élargissement dudit modèle stocké (21) avec ladite image d'empreinte digitale candidate partielle présente (20) ; et
    la détermination si une deuxième correspondance entre ladite représentation de l'image d'empreinte digitale candidate partielle présente (20) et une première desdites représentations stockées de la pluralité d'images d'empreintes digitales candidates partielles précédentes (22a-f) satisfait une deuxième exigence de mise à jour de modèle par la comparaison de ladite première des représentations stockées et dudit modèle mis à jour (28) ;
    lorsqu'il est déterminé que ladite deuxième correspondance satisfait ladite deuxième exigence de mise à jour de modèle :
    la formation d'un premier modèle élargi (30) par l'élargissement dudit modèle mis à jour (28) avec ladite première des représentations stockées de la pluralité d'images d'empreintes digitales candidates partielles précédentes (22a-f) ; et
    lorsqu'il est déterminé que ladite première correspondance ne satisfait pas ladite première exigence de mise à jour de modèle :
    la fourniture (204) d'un signal indiquant un échec d'authentification ; et
    la formation (205) d'une représentation d'enregistrement mise à jour par l'ajout de ladite représentation de l'image d'empreinte digitale candidate partielle présente (20) à ladite représentation d'enregistrement stockée en tant qu'une image d'empreinte digitale candidate partielle précédente infructueuse.
  4. Procédé selon la revendication 3, comprenant en outre les étapes suivantes :
    la détermination si une troisième correspondance entre une deuxièmes desdites représentations stockées de la pluralité d'images d'empreintes digitales candidates partielles précédentes (22a-f) et ledit premier modèle élargi (30) satisfait une troisième exigence de mise à jour de modèle ; et
    lorsqu'il est déterminé que ladite troisième correspondance satisfait ladite troisième exigence de mise à jour de modèle :
    la formation d'un deuxième modèle élargi par l'élargissement dudit premier modèle élargi (30) avec ladite deuxième des représentations stockées de la pluralité d'images d'empreintes digitales candidates partielles précédentes (22a-f).
  5. Procédé selon l'une quelconque des revendications précédentes, comprenant en outre l'étape suivante :
    l'évaluation d'au moins une propriété d'image de ladite image d'empreinte digitale candidate partielle présente (20) par rapport à un critère de propriété d'image,
    dans lequel ladite représentation de l'image d'empreinte digitale candidate partielle présente (20) n'est ajoutée à ladite représentation d'enregistrement stockée que lorsque ladite au moins une propriété d'image satisfait ledit critère de propriété d'image.
  6. Procédé selon la revendication 5, dans lequel ledit critère de propriété d'image est indicatif d'une qualité d'image de seuil.
  7. Procédé selon la revendication 5 ou 6, dans lequel ledit critère de propriété d'image est indicatif d'une vraisemblance que ladite image d'empreinte digitale candidate partielle présente soit une image d'un doigt (5) dudit utilisateur.
  8. Procédé selon la revendication 7, dans lequel ledit critère de propriété d'image est indicatif d'une fréquence spatiale de seuil d'arêtes ou de vallées d'empreinte digitale.
  9. Procédé selon l'une quelconque des revendications précédentes, comprenant en outre les étapes suivantes :
    l'évaluation d'au moins une propriété de chaque image d'empreinte digitale candidate partielle précédente dans ladite pluralité d'images d'empreintes digitales candidates partielles précédentes (22a-f) ; et
    la suppression d'au moins l'une desdites images d'empreintes digitales candidates partielles précédentes (22a-f) de ladite représentation d'enregistrement stockée sur la base de ladite évaluation.
  10. Système d'authentification d'empreinte digitale pour authentifier un utilisateur, comprenant :
    un capteur d'empreinte digitale ;
    une mémoire ; et
    une circuiterie de traitement connectée audit capteur d'empreinte digitale et à ladite mémoire pour :
    la commande audit capteur d'empreinte digitale d'acquérir une image d'empreinte digitale candidate partielle présente d'une empreinte digitale candidate à authentifier :
    la récupération, à partir de ladite mémoire, d'une représentation d'enregistrement stockée pour ledit utilisateur, la représentation d'enregistrement stockée comprenant un modèle stocké et des représentations stockées d'une pluralité d'images d'empreintes digitales candidates partielles précédentes acquises en relation avec des tentatives d'authentification infructueuses précédentes pour ledit utilisateur ;
    la détermination si une première correspondance entre une représentation de l'image d'empreinte digitale candidate partielle présente et ledit modèle stocké satisfait une première exigence de mise à jour de modèle indiquant que l'image d'empreinte digitale candidate partielle présente est suffisamment similaire à l'image d'empreinte digitale représentée par le modèle stocké pour qu'une mise à jour de modèle se déroule et qu'une authentification puisse être considérée comme étant réussie ;
    la détermination si une deuxième correspondance entre ladite représentation de l'image d'empreinte digitale candidate partielle présente et au moins l'une desdites représentations stockées de la pluralité d'images d'empreintes digitales candidates partielles précédentes satisfait une deuxième exigence de mise à jour de modèle ;
    lorsqu'il est déterminé que ladite première correspondance satisfait ladite première exigence de mise à jour de modèle et ladite deuxième correspondance ne satisfait pas ladite deuxième exigence de mise à jour de modèle :
    la fourniture d'un signal indiquant une authentification réussie ; et
    la formation d'un premier modèle élargi par l'élargissement dudit modèle stocké avec ladite image d'empreinte digitale candidate partielle présente ;
    lorsqu'il est déterminé que ladite première correspondance satisfait ladite première exigence de mise à jour de modèle et ladite deuxième correspondance satisfait ladite deuxième exigence de mise à jour de modèle :
    la fourniture d'un signal indiquant une authentification réussie ; et
    la formation d'un premier modèle élargi par l'élargissement dudit modèle stocké avec ladite image d'empreinte digitale candidate partielle présente et ladite au moins une représentation stockée de la pluralité d'images d'empreintes digitales candidates partielles précédentes ; et
    lorsqu'il est déterminé que ladite première correspondance ne satisfait pas ladite première exigence de mise à jour de modèle :
    la fourniture d'un signal indiquant un échec d'authentification ; et
    la formation d'une représentation d'enregistrement mise à jour par l'ajout de ladite représentation de l'image d'empreinte digitale candidate partielle présente à ladite représentation d'enregistrement stockée en tant qu'une image d'empreinte digitale candidate partielle précédente.
  11. Système d'authentification d'empreinte digitale selon la revendication 10, dans lequel ladite circuiterie de traitement est configurée pour déterminer si ladite deuxième correspondance satisfait ladite deuxième exigence de mise à jour de modèle par la comparaison de chacune desdites représentations stockées de la pluralité d'images d'empreintes digitales candidates partielles précédentes et de ladite représentation de l'image d'empreinte digitale candidate partielle présente.
  12. Système d'authentification d'empreinte digitale pour authentifier un utilisateur, comprenant :
    un capteur d'empreinte digitale (3) ;
    une mémoire (14) ; et
    une circuiterie de traitement (13) connectée audit capteur d'empreinte digitale (3), et à ladite mémoire (14) pour :
    l'acquisition d'une image d'empreinte digitale candidate partielle présente (20) ;
    la récupération d'une représentation d'enregistrement stockée pour ledit utilisateur, ladite représentation d'enregistrement stockée comprenant un modèle stocké (21) et des représentations stockées d'une pluralité d'images d'empreintes digitales candidates partielles précédentes (22a-f) acquises en relation avec des tentatives d'authentification infructueuses précédentes pour ledit utilisateur ;
    la détermination si une première correspondance entre une représentation de l'image d'empreinte digitale candidate partielle présente (20) et ledit modèle stocké (21) satisfait une première exigence de mise à jour de modèle indiquant que l'image d'empreinte digitale candidate partielle présente (20) est suffisamment similaire à l'image d'empreinte digitale représentée par le modèle stocké (21) pour qu'une mise à jour de modèle se déroule et qu'une authentification puisse être considérée comme étant réussie ;
    lorsqu'il est déterminé que ladite première correspondance satisfait ladite première exigence de mise à jour de modèle :
    la fourniture d'un signal indiquant une authentification réussie ;
    la formation d'un modèle mis à jour (28) par l'élargissement dudit modèle stocké (21) avec ladite image d'empreinte digitale candidate partielle présente (20) ; et
    la détermination si une deuxième correspondance entre ladite représentation de l'image d'empreinte digitale candidate partielle présente (20) et une première desdites représentations stockées de la pluralité d'images d'empreintes digitales candidates partielles précédentes (22a-f) satisfait une deuxième exigence de mise à jour de modèle par la comparaison de ladite première des représentations stockées et dudit modèle mis à jour (28) ;
    lorsqu'il est déterminé que ladite deuxième correspondance satisfait ladite deuxième exigence de mise à jour de modèle :
    la formation d'un premier modèle élargi par l'élargissement dudit modèle mis à jour (28) avec ladite première des représentations stockées de la pluralité d'images d'empreintes digitales candidates partielles précédentes (22a-f) ; et lorsqu'il est déterminé que ladite première correspondance ne satisfait pas ladite première exigence de mise à jour de modèle :
    la fourniture d'un signal indiquant un échec d'authentification ; et
    la formation d'une représentation d'enregistrement mise à jour par l'ajout de ladite représentation de l'image d'empreinte digitale candidate partielle présente à ladite représentation d'enregistrement stockée en tant qu'une image d'empreinte digitale candidate partielle précédente infructueuse.
  13. Dispositif électronique (1) comprenant :
    un système d'authentification d'empreinte digitale selon la revendication 10 ou 12 ; et
    une unité de traitement configurée pour commander audit système d'authentification d'empreinte digitale d'effectuer une authentification d'empreinte digitale d'un utilisateur et réaliser au moins un processus demandé par l'utilisateur uniquement si ledit utilisateur est vérifié en utilisant ledit système d'authentification d'empreinte digitale.
EP16818340.8A 2015-07-01 2016-06-27 Authentification d'empreinte digitale comprenant une mise à jour de modèle Active EP3317811B1 (fr)

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Families Citing this family (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10713466B2 (en) 2014-03-07 2020-07-14 Egis Technology Inc. Fingerprint recognition method and electronic device using the same
KR102255351B1 (ko) * 2014-09-11 2021-05-24 삼성전자주식회사 홍채 인식 방법 및 장치
EP3232369B1 (fr) * 2016-04-15 2021-06-16 Nxp B.V. Système et procédé d'authentification d'empreintes digitales
CN106055956B (zh) * 2016-05-30 2017-10-31 广东欧珀移动通信有限公司 一种解锁控制方法及移动终端
US10395129B2 (en) * 2016-09-14 2019-08-27 Idex Asa Dynamic registration seed
CN106897595B (zh) * 2017-01-20 2020-04-03 北京安云世纪科技有限公司 一种移动终端
US10528791B1 (en) * 2017-03-02 2020-01-07 Synaptics Incorporated Biometric template updating systems and methods
US10691919B1 (en) 2017-03-09 2020-06-23 Idex Asa Dynamic registration using multiple match enrollment
CN110366726A (zh) * 2017-03-09 2019-10-22 指纹卡有限公司 用于登记用户及用于认证电子设备的用户的方法
KR102316278B1 (ko) * 2017-04-07 2021-10-22 삼성전자 주식회사 지문 정보를 저장하기 위한 전자 장치 및 방법
IL251670A0 (en) * 2017-04-09 2017-06-29 Fst21 Ltd System and method for updating a database of characters for the purpose of identifying users
CN109214152B (zh) * 2017-06-30 2021-04-13 中国电信股份有限公司 指纹认证方法、装置以及存储介质
TWI676911B (zh) * 2017-10-12 2019-11-11 神盾股份有限公司 指紋識別方法以及使用指紋識別方法的電子裝置
TWI678634B (zh) * 2017-11-28 2019-12-01 宏碁股份有限公司 指紋驗證方法與電子裝置
CN109960911A (zh) * 2017-12-14 2019-07-02 宏碁股份有限公司 指纹验证方法与电子装置
KR20190074782A (ko) * 2017-12-20 2019-06-28 삼성전자주식회사 생체 정보와 관련된 이미지의 품질에 따라, 이미지를 지정된 방식으로 처리하여 인증하는 방법 및 이를 수행하는 전자 장치
CN108288050B (zh) * 2018-02-13 2022-03-01 北京小米移动软件有限公司 更新指纹模板的方法、装置、电子设备
CN108573038A (zh) * 2018-04-04 2018-09-25 北京市商汤科技开发有限公司 图像处理、身份验证方法、装置、电子设备和存储介质
US11216541B2 (en) 2018-09-07 2022-01-04 Qualcomm Incorporated User adaptation for biometric authentication
WO2020113429A1 (fr) * 2018-12-04 2020-06-11 深圳市汇顶科技股份有限公司 Procédé d'enregistrement d'empreinte digitale, terminal et support d'informations lisible par ordinateur
CN109934114B (zh) * 2019-02-15 2023-05-12 重庆工商大学 一种手指静脉模板生成与更新算法及系统
KR102561689B1 (ko) * 2019-05-29 2023-08-01 삼성에스디에스 주식회사 생체 정보 등록 장치 및 방법, 생체 인증 장치 및 방법
EP4052149A4 (fr) 2019-11-01 2022-12-07 Fingerprint Cards Anacatum IP AB Procédé de modification d'un modèle d'empreinte digitale d'une carte de stockage de données
KR20210157951A (ko) 2020-06-22 2021-12-30 삼성디스플레이 주식회사 지문 인증 장치, 이를 포함하는 표시 장치, 및 지문 인증 방법
CN113918908A (zh) 2020-07-07 2022-01-11 三星电子株式会社 用于指纹验证的方法和设备
US11983965B2 (en) 2020-11-05 2024-05-14 Samsung Electronics Co., Ltd. Electronic device for biometric authentication and method for operating the same
KR20220060828A (ko) * 2020-11-05 2022-05-12 삼성전자주식회사 생체 인증을 위한 전자 장치 및 그 동작 방법
CN116310763B (zh) * 2023-05-10 2023-07-21 合肥英特灵达信息技术有限公司 一种模板图像生成方法、装置、电子设备及存储介质

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3780830B2 (ja) 2000-07-28 2006-05-31 日本電気株式会社 指紋識別方法及び装置
AU2002328437A1 (en) * 2002-09-17 2004-04-08 Fujitsu Limited Biological information acquiring apparatus and authentication apparatus using biological information
KR100622245B1 (ko) * 2004-06-04 2006-09-08 주식회사 팬택 이동 통신 단말기에서 지문 인증 장치 및 방법
JP4403426B2 (ja) * 2007-01-09 2010-01-27 サイレックス・テクノロジー株式会社 生体認証装置及び生体認証プログラム
GB2450479A (en) * 2007-06-22 2008-12-31 Warwick Warp Ltd Fingerprint recognition including preprocessing an image by justification and segmentation before plotting ridge characteristics in feature space
FR2935508B1 (fr) * 2008-09-01 2010-09-17 Sagem Securite Procede de determination d'une pseudo-identite a partir de caracteristiques de minuties et dispositif associe.
JP5245971B2 (ja) 2009-03-26 2013-07-24 富士通株式会社 生体情報処理装置および方法
KR101252454B1 (ko) * 2011-04-07 2013-04-16 주식회사 슈프리마 대표 지문 템플릿 생성 장치 및 방법
US9268991B2 (en) 2012-03-27 2016-02-23 Synaptics Incorporated Method of and system for enrolling and matching biometric data
CN102708360A (zh) * 2012-05-09 2012-10-03 深圳市亚略特生物识别科技有限公司 一种指纹模板生成及自动更新的方法
CN102693420B (zh) * 2012-05-25 2014-09-17 深圳市亚略特生物识别科技有限公司 一种指纹模板自动更新的方法
US9152842B2 (en) * 2012-06-29 2015-10-06 Apple Inc. Navigation assisted fingerprint enrollment
JP6229352B2 (ja) * 2013-07-26 2017-11-15 富士通株式会社 画像処理装置、画像処理方法およびプログラム
US9135494B2 (en) 2013-09-09 2015-09-15 Apple Inc. Finger biometric sensor for flagging as sufficient enrollment finger biometric data sets and related methods
US20160125223A1 (en) * 2014-10-30 2016-05-05 Apple Inc. Electronic device including multiple speed and multiple accuracy finger biometric matching and related methods

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KR101898636B1 (ko) 2018-09-13
US9471765B1 (en) 2016-10-18
CN106716446B (zh) 2018-11-09
CN106716446A (zh) 2017-05-24
JP2018519600A (ja) 2018-07-19
EP3317811A4 (fr) 2019-02-27
WO2017003356A1 (fr) 2017-01-05
EP3317811A1 (fr) 2018-05-09
JP6717859B2 (ja) 2020-07-08

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